Towards precision medicine
Abstract
There is great potential for genome sequencing to enhance patient care through improved diagnostic sensitivity and more precise therapeutic targeting. To maximize this potential, genomics strategies that have been developed for genetic discovery - including DNA-sequencing technologies and analysis algorithms - need to be adapted to fit clinical needs. This will require the optimization of alignment algorithms, attention to quality-coverage metrics, tailored solutions for paralogous or low-complexity areas of the genome, and the adoption of consensus standards for variant calling and interpretation. Global sharing of this more accurate genotypic and phenotypic data will accelerate the determination of causality for novel genes or variants. Thus, a deeper understanding of disease will be realized that will allow its targeting with much greater therapeutic precision.
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The movement toward precision healthcare within a psychosocial context aims to account for the wide range of patient goals and individually defined successes.
“Indeed, the movement toward precision healthcare74 within a psychosocial context aims to account for the wide range of patient goals and individually defined “successes.””
From Preliminary Development of a Mindfulness-Based Group Therapy to Expand Couples’ Sexual Intimacy after Prostate Cancer: A Mixed Methods Approach (2021) · cites this paper as [74]
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The Thrombophilias: Well-Defined Risk Factors with Uncertain Therapeutic Implications
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Lumacaftor–Ivacaftor in Patients with Cystic Fibrosis Homozygous for Phe508del CFTR
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Extending reference assembly models
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The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicine
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Medical implications of technical accuracy in genome sequencing
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Self-citationPhased Whole-Genome Genetic Risk in a Family Quartet Using a Major Allele Reference Sequence
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DNA triplet repeat expansion and mismatch repair
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PharmGKB: a logical home for knowledge relating genotype to drug response phenotype
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Systematic discovery of complex insertions and deletions in human cancers
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The Undiagnosed Diseases Network of the National Institutes of Health: A National Extension
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Self-citationHomburger, J. R., Green, E. M., Caleshu, C. A., Sunitha, M. S., Taylor, R. E., Ruppel, K. M., Metpally, R. P. R., SHaRe Investigators, Colan, S. D., Michels, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606950113 · Cited by 113 · see citing works
Self-citationPriest, J. R., Osoegawa, K., Mohammed, N., Nanda, V., Kundu, R. K., Schultz, K., Lammer, E. J., Girirajan, S., Scheetz, T. E., Waggott, D. M., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005963 · Cited by 112 · see citing works
Self-citationA Brief History of Triplet Repeat Diseases
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Clopidogrel: A Case for Indication-Specific Pharmacogenetics
Johnson, J. A., Roden, D. M., Lesko, L. J., Ashley, E. A., Klein, T. E., & Shuldiner, A. R. (2012) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2012.21 · Cited by 82 · see citing works
Self-citationThe impact of chromosomal microarray on clinical management: a retrospective analysis
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Fisher, K. E., Zhang, L., Wang, J., Smith, G. H., Newman, S., Schneider, T. M., Pillai, R. N., Kudchadkar, R. R., Owonikoko, T. K., Ramalingam, S. S., et al. (2016) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2015.11.006 · Cited by 71 · see citing works
Quality score compression improves genotyping accuracy
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Targeted therapies to improve CFTR function in cystic fibrosis
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Effect of lossy compression of quality scores on variant calling
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Self-citationSW#–GPU-enabled exact alignments on genome scale
Korpar, M., & Šikić, M. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt410 · Cited by 60 · see citing works
QVZ: lossy compression of quality values
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Achieving high-sensitivity for clinical applications using augmented exome sequencing
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Self-citationNext-Generation Sequencing in Oncology in the Era of Precision Medicine
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Molecular diagnosis of long QT syndrome at 10 days of life by rapid whole genome sequencing
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Self-citationRosenfeld, J., Malhotra, A. K., & Lencz, T. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq408 · Cited by 51 · see citing works
Practical considerations in genomic decision support: The eMERGE experience
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Pharmacogenomics and Clopidogrel
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McRae, J. F., Clayton, S., Fitzgerald, T. W., Kaplanis, J., Prigmore, E., Rajan, D., Sifrim, A., Aitken, S., Akawi, N., Alvi, M., et al. (2016) · doi:10.1101/049056 · Cited by 30 · see citing works
Leading the way to genomic medicine
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An efficient algorithm for the extraction of HGVS variant descriptions from sequences
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Reclassification of genetic-based risk predictions as GWAS data accumulate
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Self-citationBrewington, J. J., McPhail, G. L., & Clancy, J. P. (2015) · Expert Review of Respiratory Medicine · doi:10.1586/17476348.2016.1122527 · Cited by 22 · see citing works
Unmet needs: Research helps regulators do their jobs
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Integration of string and de Bruijn graphs for genome assembly
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A precision metric for clinical genome sequencingPreprint
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Self-citationThe Human Genome and Its Upcoming Dynamics
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Taming the genome: towards better genetic test interpretation
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Self-citationReturning to more finished genomes
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Waggott, D., Bog, A., Singh, E., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/039651 · Cited by 4 · see citing works
Flagged first, then by citations
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On the Opportunities and Risks of Foundation Models
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A brief history of human disease genetics
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Schultheiss, H.-P., Fairweather, D., Caforio, A. L. P., Escher, F., Hershberger, R. E., Lipshultz, S. E., Liu, P. P., Matsumori, A., Mazzanti, A., McMurray, J., et al. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0084-1 · Cited by 720 · see citing works
Detection of long repeat expansions from PCR-free whole-genome sequence data
Dolzhenko, E., van Vugt, J. J. F. A., Shaw, R. J., Bekritsky, M. A., van Blitterswijk, M., Narzisi, G., Ajay, S. S., Rajan, V., Lajoie, B. R., Johnson, N. H., et al. (2017) · Genome Research · doi:10.1101/gr.225672.117 · Cited by 388 · see citing works
Effect of Genetic Diagnosis on Patients with Previously Undiagnosed Disease
Splinter, K., Adams, D. R., Bacino, C. A., Bellen, H. J., Bernstein, J. A., Cheatle-Jarvela, A. M., Eng, C. M., Esteves, C., Gahl, W. A., Hamid, R., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1714458 · Cited by 359 · see citing works
Self-citationInnovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
Hassan, M., Awan, F. M., Naz, A., deAndrés-Galiana, E. J., Alvarez, O., Cernea, A., Fernández-Brillet, L., Fernández-Martínez, J. L., & Kloczkowski, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094645 · Cited by 317 · see citing works
“Precision medicine can be succinctly defined as an approach to provide the right treatments to the right patients at the right time [8].”
BackgroundPersonalised organs-on-chips: functional testing for precision medicine
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A Pilot Detection and Associate Study of Gene Presence-Absence Variation in Holstein Cattle
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- Authors
- Ashley, E. A.
- Affiliations
- Stanford Health Care (US)
- Corresponding author
- Ashley, Euan A.
- ORCID
- Ashley, Euan A.
- Venue
- Nature Reviews Genetics
- Published
- 2016-08-16
- Volume
- 17
- Issue
- 9
- Pages
- 507-522
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2513408092
- Cited by
- 1,116
- References
- 134
- Citations by year
- 2026: 150 · 2025: 145 · 2024: 161 · 2023: 113 · 2022: 124 · 2021: 102 · 2020: 101 · 2019: 75 · 2018: 68 · 2017: 70 · 2016: 6 · 2014: 1
- FWCI
- 9.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- precision medicine, clinical genomics, genome sequencing, variant interpretation, bioinformatics pipeline, alignment algorithms, sequencing quality metrics, low complexity regions, genetic diagnosis, therapeutic targeting, data sharing
- MeSH terms
- Algorithms, Genotype, Humans, Software, Sequence Analysis, DNA, Genomics, Precision Medicine
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